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LODS Role in Predicting 30-da...

LODS Role in Predicting 30-day Mortality Outcome in ICU

Last Updated: 2019-04-29

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

439 participants

Study Classification

OBSERVATIONAL

Study Start Date

2018-05-17

Study Completion Date

2018-11-23

Brief Summary

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LODS score for deceased ICU patients within 30 days is higher than survived ICU patients

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Risk

COMPLETED

Detailed Description

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Conditions

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Mortality

Study Design

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Observational Model Type

COHORT

Study Time Perspective

RETROSPECTIVE

Study Groups

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Mortality outcome

Logistic Organ Dysfunction System Score

Intervention Type OTHER

Variables of logistic organ dysfunction system score, including: GCS; heart rate; systolic BP; blood urea; serum creatinine; urine output; leucocyte count; platelet count; PaO2/FiO2; serum bilirubin; prothrombin time.

Interventions

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Logistic Organ Dysfunction System Score

Intervention Type OTHER

Other Intervention Names

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LODS

Eligibility Criteria

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Inclusion Criteria

* adult patient (age 18 years and above) admitted to ICU

Exclusion Criteria

* patients admitted to ICU due to burn injury, coronary artery disease, post cardiac surgery
* patients with incomplete required information for LODS score
* patients deceased or discharged less than 24 hours of admission

Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Responsible Party

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Dita Aditianingsih

MD, PhD, Anesthesiologist Consultant

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

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Rumah Sakit Cipto Mangunkusumo

Jakarta Pusat, DKI Jakarta, Indonesia

Site Status

Countries

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Indonesia

References

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Power GS, Harrison DA. Why try to predict ICU outcomes? Curr Opin Crit Care. 2014 Oct;20(5):544-9. doi: 10.1097/MCC.0000000000000136.

Reference Type BACKGROUND

PMID: 25159474 (View on PubMed)

Rapsang AG, Shyam DC. Scoring systems in the intensive care unit: A compendium. Indian J Crit Care Med. 2014 Apr;18(4):220-8. doi: 10.4103/0972-5229.130573.

Reference Type BACKGROUND

PMID: 24872651 (View on PubMed)

Purnama Dewi O, Nurfitri E. Pediatric logistic organ dysfunction score as a predictive tool of dengue shock syndrome outcomes. Paediatrica Indonesiana. 2012;52(2):72-77.

Reference Type BACKGROUND

Grenvik A, Ayres SM, Holbrook PR, Shoemaker WC, editors. Textbook of Critical Care. Subsequent edition. Philadelphia: W B Saunders Co; 2000. 2227 p

Reference Type BACKGROUND

Rao SM, Suhasini T. Organization of intensive care unit and predicting outcome of critical illness. Indian J Anaesth. 2003;47(5):328-37.

Reference Type BACKGROUND

Le Gall JR, Klar J, Lemeshow S, Saulnier F, Alberti C, Artigas A, Teres D. The Logistic Organ Dysfunction system. A new way to assess organ dysfunction in the intensive care unit. ICU Scoring Group. JAMA. 1996 Sep 11;276(10):802-10. doi: 10.1001/jama.276.10.802.

Reference Type BACKGROUND

PMID: 8769590 (View on PubMed)

Heldwein MB, Badreldin AM, Doerr F, Lehmann T, Bayer O, Doenst T, Hekmat K. Logistic Organ Dysfunction Score (LODS): a reliable postoperative risk management score also in cardiac surgical patients? J Cardiothorac Surg. 2011 Sep 16;6:110. doi: 10.1186/1749-8090-6-110.

Reference Type BACKGROUND

PMID: 21923900 (View on PubMed)

Kim TK, Yoon JR. Comparison of the predictive power of the LODS and APACHE II scoring systems in a neurological intensive care unit. J Int Med Res. 2012;40(2):777-86. doi: 10.1177/147323001204000244.

Reference Type BACKGROUND

PMID: 22613443 (View on PubMed)

Saranya AVR S. Comparison of Different Scoring Systems Used in the Intensive Care Unit. Journal of Pulmonary & Respiratory Medicine. 2015;05(04).

Reference Type BACKGROUND

Timsit JF, Fosse JP, Troche G, De Lassence A, Alberti C, Garrouste-Orgeas M, Azoulay E, Chevret S, Moine P, Cohen Y. Accuracy of a composite score using daily SAPS II and LOD scores for predicting hospital mortality in ICU patients hospitalized for more than 72 h. Intensive Care Med. 2001 Jun;27(6):1012-21. doi: 10.1007/s001340100961.

Reference Type BACKGROUND

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Timsit JF, Fosse JP, Troche G, De Lassence A, Alberti C, Garrouste-Orgeas M, Bornstain C, Adrie C, Cheval C, Chevret S; OUTCOMEREA Study Group, France. Calibration and discrimination by daily Logistic Organ Dysfunction scoring comparatively with daily Sequential Organ Failure Assessment scoring for predicting hospital mortality in critically ill patients. Crit Care Med. 2002 Sep;30(9):2003-13. doi: 10.1097/00003246-200209000-00009.

Reference Type BACKGROUND

PMID: 12352033 (View on PubMed)

Bouch DC, Thompson JP. Severity scoring systems in the critically ill. Contin Educ Anaesth Crit Care Pain. 2008;8:181-5.

Reference Type BACKGROUND

Dolejs J, Maresova P. Onset of mortality increase with age and age trajectories of mortality from all diseases in the four Nordic countries. Clin Interv Aging. 2017 Jan 21;12:161-173. doi: 10.2147/CIA.S119327. eCollection 2017.

Reference Type BACKGROUND

PMID: 28176929 (View on PubMed)

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Hashemian SM, Jamaati H, Farzanegan Bidgoli B, Farrokhi FR, Malekmohammad M, Roozdar S, Mohajerani SA, Bagheri A, Radmnand G, Hatami B, Chitsazan M. Outcome of Acute Kidney Injury in Critical Care Unit, Based on AKI Network. Tanaffos. 2016;15(2):89-95.

Reference Type BACKGROUND

PMID: 27904540 (View on PubMed)

Engoren M, Maile MD, Heung M, Jewell ES, Vahabzadeh C, Haft JW, Kheterpal S. The Association Between Urine Output, Creatinine Elevation, and Death. Ann Thorac Surg. 2017 Apr;103(4):1229-1237. doi: 10.1016/j.athoracsur.2016.07.036. Epub 2016 Oct 4.

Reference Type BACKGROUND

PMID: 27717425 (View on PubMed)

Macedo E, Malhotra R, Bouchard J, Wynn SK, Mehta RL. Oliguria is an early predictor of higher mortality in critically ill patients. Kidney Int. 2011 Oct;80(7):760-7. doi: 10.1038/ki.2011.150. Epub 2011 Jun 29.

Reference Type BACKGROUND

PMID: 21716258 (View on PubMed)

Zhang Z, Xu X, Ni H, Deng H. Urine output on ICU entry is associated with hospital mortality in unselected critically ill patients. J Nephrol. 2014 Feb;27(1):65-71. doi: 10.1007/s40620-013-0024-1. Epub 2014 Jan 15.

Reference Type BACKGROUND

PMID: 24424722 (View on PubMed)

Saygitov RT, Glezer MG, Semakina SV. Blood urea nitrogen and creatinine levels at admission for mortality risk assessment in patients with acute coronary syndromes. Emerg Med J. 2010 Feb;27(2):105-9. doi: 10.1136/emj.2008.068155.

Reference Type BACKGROUND

PMID: 20156860 (View on PubMed)

Teasdale G, Jennett B. Assessment of coma and impaired consciousness. A practical scale. Lancet. 1974 Jul 13;2(7872):81-4. doi: 10.1016/s0140-6736(74)91639-0. No abstract available.

Reference Type BACKGROUND

PMID: 4136544 (View on PubMed)

Ting HW, Chen MS, Hsieh YC, Chan CL. Good mortality prediction by Glasgow Coma Scale for neurosurgical patients. J Chin Med Assoc. 2010 Mar;73(3):139-43. doi: 10.1016/S1726-4901(10)70028-9.

Reference Type BACKGROUND

PMID: 20230998 (View on PubMed)

Nik A, Sheikh Andalibi MS, Ehsaei MR, Zarifian A, Ghayoor Karimiani E, Bahadoorkhan G. The Efficacy of Glasgow Coma Scale (GCS) Score and Acute Physiology and Chronic Health Evaluation (APACHE) II for Predicting Hospital Mortality of ICU Patients with Acute Traumatic Brain Injury. Bull Emerg Trauma. 2018 Apr;6(2):141-145. doi: 10.29252/beat-060208.

Reference Type BACKGROUND

PMID: 29719845 (View on PubMed)

Zhang D, Shen X, Qi X. Resting heart rate and all-cause and cardiovascular mortality in the general population: a meta-analysis. CMAJ. 2016 Feb 16;188(3):E53-E63. doi: 10.1503/cmaj.150535. Epub 2015 Nov 23.

Reference Type BACKGROUND

PMID: 26598376 (View on PubMed)

Reunanen A, Karjalainen J, Ristola P, Heliovaara M, Knekt P, Aromaa A. Heart rate and mortality. J Intern Med. 2000 Feb;247(2):231-9. doi: 10.1046/j.1365-2796.2000.00602.x.

Reference Type BACKGROUND

PMID: 10692086 (View on PubMed)

Prasada S, Oswalt C, Yeboah P, Saylor G, Bowden D, Yeboah J. Heart rate is an independent predictor of all-cause mortality in individuals with type 2 diabetes: The diabetes heart study. World J Diabetes. 2018 Jan 15;9(1):33-39. doi: 10.4239/wjd.v9.i1.33.

Reference Type BACKGROUND

PMID: 29359027 (View on PubMed)

Tongyoo S, Permpikul C, Haemin R, Epichath N. Predicting factors, incidence and prognosis of cardiac arrhythmia in medical, non-acute coronary syndrome, critically ill patients. J Med Assoc Thai. 2013 Feb;96 Suppl 2:S238-45.

Reference Type BACKGROUND

PMID: 23590048 (View on PubMed)

Li C, Chen Y, Zheng Q, Wu W, Chen Z, Song L, An S, Li Z, Chen S, Wu SL. Relationship between systolic blood pressure and all-cause mortality: a prospective study in a cohort of Chinese adults. BMC Public Health. 2018 Jan 5;18(1):107. doi: 10.1186/s12889-017-4965-5.

Reference Type BACKGROUND

PMID: 29304766 (View on PubMed)

Lv YB, Gao X, Yin ZX, Chen HS, Luo JS, Brasher MS, Kraus VB, Li TT, Zeng Y, Shi XM. Revisiting the association of blood pressure with mortality in oldest old people in China: community based, longitudinal prospective study. BMJ. 2018 Jun 5;361:k2158. doi: 10.1136/bmj.k2158.

Reference Type BACKGROUND

PMID: 29871897 (View on PubMed)

Ruggiero C, Metter EJ, Cherubini A, Maggio M, Sen R, Najjar SS, Windham GB, Ble A, Senin U, Ferrucci L. White blood cell count and mortality in the Baltimore Longitudinal Study of Aging. J Am Coll Cardiol. 2007 May 8;49(18):1841-50. doi: 10.1016/j.jacc.2007.01.076. Epub 2007 Apr 23.

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Bonaccio M, Di Castelnuovo A, Costanzo S, De Curtis A, Donati MB, Cerletti C, de Gaetano G, Iacoviello L; MOLI-SANI Investigators. Age-sex-specific ranges of platelet count and all-cause mortality: prospective findings from the MOLI-SANI study. Blood. 2016 Mar 24;127(12):1614-6. doi: 10.1182/blood-2016-01-692814. Epub 2016 Feb 10. No abstract available.

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PMID: 26864338 (View on PubMed)

Tsai MT, Chen YT, Lin CH, Huang TP, Tarng DC; Taiwan Geriatric Kidney Disease Research Group. U-shaped mortality curve associated with platelet count among older people: a community-based cohort study. Blood. 2015 Sep 24;126(13):1633-5. doi: 10.1182/blood-2015-06-654764. Epub 2015 Aug 11. No abstract available.

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PMID: 26265696 (View on PubMed)

van der Bom JG, Heckbert SR, Lumley T, Holmes CE, Cushman M, Folsom AR, Rosendaal FR, Psaty BM. Platelet count and the risk for thrombosis and death in the elderly. J Thromb Haemost. 2009 Mar;7(3):399-405. doi: 10.1111/j.1538-7836.2008.03267.x. Epub 2008 Dec 20.

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PMID: 19143922 (View on PubMed)

Ishizuka M, Tago K, Kubota K. Impact of prothrombin time-International Normalized Ratio on outcome of patients with septic shock receiving polymyxin B cartridge hemoperfusion. Surgery. 2014 Jul;156(1):168-75. doi: 10.1016/j.surg.2014.03.009. Epub 2014 Mar 15.

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PMID: 24929766 (View on PubMed)

Benediktsson S, Frigyesi A, Kander T. Routine coagulation tests on ICU admission are associated with mortality in sepsis: an observational study. Acta Anaesthesiol Scand. 2017 Aug;61(7):790-796. doi: 10.1111/aas.12918.

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PMID: 28681428 (View on PubMed)

Yokoyama Y, Ebata T, Igami T, Sugawara G, Ando M, Nagino M. Predictive power of prothrombin time and serum total bilirubin for postoperative mortality after major hepatectomy with extrahepatic bile duct resection. Surgery. 2014 Mar;155(3):504-11. doi: 10.1016/j.surg.2013.08.022. Epub 2013 Nov 25.

Reference Type BACKGROUND

PMID: 24287146 (View on PubMed)

Pierrakos C, Velissaris D, Felleiter P, Antonelli M, Vanhems P, Sakr Y, Vincent JL; EPIC II investigators. Increased mortality in critically ill patients with mild or moderate hyperbilirubinemia. J Crit Care. 2017 Aug;40:31-35. doi: 10.1016/j.jcrc.2017.01.017. Epub 2017 Feb 13.

Reference Type BACKGROUND

PMID: 28314169 (View on PubMed)

Su HH, Kao CM, Lin YC, Lin YC, Kao CC, Chen HH, Hsu CC, Chen KC, Peng CC, Wu MS. Relationship between serum total bilirubin levels and mortality in uremia patients undergoing long-term hemodialysis: A nationwide cohort study. Atherosclerosis. 2017 Oct;265:155-161. doi: 10.1016/j.atherosclerosis.2017.09.001. Epub 2017 Sep 4.

Reference Type BACKGROUND

PMID: 28892712 (View on PubMed)

Yang TL, Lin YC, Lin YC, Huang CY, Chen HH, Wu MS. Total Bilirubin in Prognosis for Mortality in End-Stage Renal Disease Patients on Peritoneal Dialysis Therapy. J Am Heart Assoc. 2017 Dec 23;6(12):e007507. doi: 10.1161/JAHA.117.007507.

Reference Type BACKGROUND

PMID: 29275374 (View on PubMed)

Esteve F, Lopez-Delgado JC, Javierre C, Skaltsa K, Carrio ML, Rodriguez-Castro D, Torrado H, Farrero E, Diaz-Prieto A, Ventura JL, Manez R. Evaluation of the PaO2/FiO2 ratio after cardiac surgery as a predictor of outcome during hospital stay. BMC Anesthesiol. 2014 Sep 26;14:83. doi: 10.1186/1471-2253-14-83.

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PMID: 25928646 (View on PubMed)

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Other Identifiers

Review additional registry numbers or institutional identifiers associated with this trial.

IndonesiaUAnes035

Identifier Type: -

Identifier Source: org_study_id

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LODS Role in Predicting 30-day Mortality Outcome in ICU

Study Results

Basic Information

Brief Summary

Related Clinical Trials

Simple Observational Critical Care Studies

Association Between Resuscitation Orders and Mortality in ICU Patients

Critical Illness Outcomes Study

To Survive After ICU Discharge

Prediction of Safe Discharge From ICU

Detailed Description

Conditions

Study Design

Study Groups

Mortality outcome

Logistic Organ Dysfunction System Score

Interventions

Logistic Organ Dysfunction System Score

Other Intervention Names

Eligibility Criteria

Inclusion Criteria

Exclusion Criteria

Sponsors

Indonesia University

Responsible Party

Dita Aditianingsih

Locations

Rumah Sakit Cipto Mangunkusumo

Countries

References

Power GS, Harrison DA. Why try to predict ICU outcomes? Curr Opin Crit Care. 2014 Oct;20(5):544-9. doi: 10.1097/MCC.0000000000000136.

Rapsang AG, Shyam DC. Scoring systems in the intensive care unit: A compendium. Indian J Crit Care Med. 2014 Apr;18(4):220-8. doi: 10.4103/0972-5229.130573.

Purnama Dewi O, Nurfitri E. Pediatric logistic organ dysfunction score as a predictive tool of dengue shock syndrome outcomes. Paediatrica Indonesiana. 2012;52(2):72-77.

Grenvik A, Ayres SM, Holbrook PR, Shoemaker WC, editors. Textbook of Critical Care. Subsequent edition. Philadelphia: W B Saunders Co; 2000. 2227 p

Rao SM, Suhasini T. Organization of intensive care unit and predicting outcome of critical illness. Indian J Anaesth. 2003;47(5):328-37.

Le Gall JR, Klar J, Lemeshow S, Saulnier F, Alberti C, Artigas A, Teres D. The Logistic Organ Dysfunction system. A new way to assess organ dysfunction in the intensive care unit. ICU Scoring Group. JAMA. 1996 Sep 11;276(10):802-10. doi: 10.1001/jama.276.10.802.

Heldwein MB, Badreldin AM, Doerr F, Lehmann T, Bayer O, Doenst T, Hekmat K. Logistic Organ Dysfunction Score (LODS): a reliable postoperative risk management score also in cardiac surgical patients? J Cardiothorac Surg. 2011 Sep 16;6:110. doi: 10.1186/1749-8090-6-110.

Kim TK, Yoon JR. Comparison of the predictive power of the LODS and APACHE II scoring systems in a neurological intensive care unit. J Int Med Res. 2012;40(2):777-86. doi: 10.1177/147323001204000244.

Saranya AVR S. Comparison of Different Scoring Systems Used in the Intensive Care Unit. Journal of Pulmonary & Respiratory Medicine. 2015;05(04).

Bouch DC, Thompson JP. Severity scoring systems in the critically ill. Contin Educ Anaesth Crit Care Pain. 2008;8:181-5.

Dolejs J, Maresova P. Onset of mortality increase with age and age trajectories of mortality from all diseases in the four Nordic countries. Clin Interv Aging. 2017 Jan 21;12:161-173. doi: 10.2147/CIA.S119327. eCollection 2017.

Ingraham AM, Cohen ME, Raval MV, Ko CY, Nathens AB. Comparison of hospital performance in emergency versus elective general surgery operations at 198 hospitals. J Am Coll Surg. 2011 Jan;212(1):20-28.e1. doi: 10.1016/j.jamcollsurg.2010.09.026.

Hashemian SM, Jamaati H, Farzanegan Bidgoli B, Farrokhi FR, Malekmohammad M, Roozdar S, Mohajerani SA, Bagheri A, Radmnand G, Hatami B, Chitsazan M. Outcome of Acute Kidney Injury in Critical Care Unit, Based on AKI Network. Tanaffos. 2016;15(2):89-95.

Engoren M, Maile MD, Heung M, Jewell ES, Vahabzadeh C, Haft JW, Kheterpal S. The Association Between Urine Output, Creatinine Elevation, and Death. Ann Thorac Surg. 2017 Apr;103(4):1229-1237. doi: 10.1016/j.athoracsur.2016.07.036. Epub 2016 Oct 4.

Macedo E, Malhotra R, Bouchard J, Wynn SK, Mehta RL. Oliguria is an early predictor of higher mortality in critically ill patients. Kidney Int. 2011 Oct;80(7):760-7. doi: 10.1038/ki.2011.150. Epub 2011 Jun 29.

Zhang Z, Xu X, Ni H, Deng H. Urine output on ICU entry is associated with hospital mortality in unselected critically ill patients. J Nephrol. 2014 Feb;27(1):65-71. doi: 10.1007/s40620-013-0024-1. Epub 2014 Jan 15.

Saygitov RT, Glezer MG, Semakina SV. Blood urea nitrogen and creatinine levels at admission for mortality risk assessment in patients with acute coronary syndromes. Emerg Med J. 2010 Feb;27(2):105-9. doi: 10.1136/emj.2008.068155.

Teasdale G, Jennett B. Assessment of coma and impaired consciousness. A practical scale. Lancet. 1974 Jul 13;2(7872):81-4. doi: 10.1016/s0140-6736(74)91639-0. No abstract available.

Ting HW, Chen MS, Hsieh YC, Chan CL. Good mortality prediction by Glasgow Coma Scale for neurosurgical patients. J Chin Med Assoc. 2010 Mar;73(3):139-43. doi: 10.1016/S1726-4901(10)70028-9.

Zhang D, Shen X, Qi X. Resting heart rate and all-cause and cardiovascular mortality in the general population: a meta-analysis. CMAJ. 2016 Feb 16;188(3):E53-E63. doi: 10.1503/cmaj.150535. Epub 2015 Nov 23.

Reunanen A, Karjalainen J, Ristola P, Heliovaara M, Knekt P, Aromaa A. Heart rate and mortality. J Intern Med. 2000 Feb;247(2):231-9. doi: 10.1046/j.1365-2796.2000.00602.x.

Prasada S, Oswalt C, Yeboah P, Saylor G, Bowden D, Yeboah J. Heart rate is an independent predictor of all-cause mortality in individuals with type 2 diabetes: The diabetes heart study. World J Diabetes. 2018 Jan 15;9(1):33-39. doi: 10.4239/wjd.v9.i1.33.

Tongyoo S, Permpikul C, Haemin R, Epichath N. Predicting factors, incidence and prognosis of cardiac arrhythmia in medical, non-acute coronary syndrome, critically ill patients. J Med Assoc Thai. 2013 Feb;96 Suppl 2:S238-45.

Li C, Chen Y, Zheng Q, Wu W, Chen Z, Song L, An S, Li Z, Chen S, Wu SL. Relationship between systolic blood pressure and all-cause mortality: a prospective study in a cohort of Chinese adults. BMC Public Health. 2018 Jan 5;18(1):107. doi: 10.1186/s12889-017-4965-5.

Lv YB, Gao X, Yin ZX, Chen HS, Luo JS, Brasher MS, Kraus VB, Li TT, Zeng Y, Shi XM. Revisiting the association of blood pressure with mortality in oldest old people in China: community based, longitudinal prospective study. BMJ. 2018 Jun 5;361:k2158. doi: 10.1136/bmj.k2158.

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Other Identifiers

IndonesiaUAnes035

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